In the race to manufacture the new electric vehicle, Seat has partnered with Indra to implement Minsait technology based on artificial intelligence to maximize the productivity and reliability of its production chain, specifically through artificial vision, which allow the automobile company to prevent downtime at its plants.
The two companies have shown this collaboration within the framework of the Digital Enterprise Show (DES) held recently in Malaga and have put on the table the growing importance of the implementation of artificial intelligence in the industry, given that, according to Minsait, this technology can “take production processes to another level”.
Through its specialized unit in artificial intelligence (Plaiground), Minsait has incorporated a system in Seat that, using artificial vision algorithms, detects and positions in real time possible defects and problems that can be detected in the electric monorails of the supply chain. production . In this way, the manufacturer can detect anomalies in their initial stage and introduce the necessary corrective measures so that they do not worsen and compromise production.
“We have achieved significant benefits by reducing the period of action between failures, optimizing maintenance and, consequently, saving team time and increasing production times on the electrovia”, explained the expert in Projects and New Technologies at Seat, Daniel Rodriguez. . In addition, he stressed that the car company has found in Minsait the “ally” they needed to tackle this project with “flexibility and transparency”, while also highlighting their knowledge of the sector.
“With this project, Seat becomes a benchmark in the application of artificial vision for predictive maintenance and the improvement of the manufacturing processes of the new electric car”, stressed the director of Manufacturing, Infrastructure and Transport of Industry and Consumption in Minsait, Eladio García. Likewise, he has opined that Seat’s is a “good example of how the brand applies industry 4.0 to its plants” and also of how artificial intelligence can help the industry to “reach the maximum potential in different parts of the creative process”. .